Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
Applying machine learning to advertising workloads is mission-critical for advertising technology companies looking to differentiate themselves today. Many companies need help understanding what’s possible and how to get started with adopting machine learning for advertising use-cases such as real-time bidding. In this session you will learn how to get started transforming your machine learning strategy through an in-person, hands-on workshop with real AWS experts. We'll cover the state of machine learning, architectural best-practices, and help you build and incorporate various AWS services using lab modules.
Machine learning intelligence enables you to reduce the heavy lifting and invent faster in areas such as traffic filtering and real-time bidding. Enabling you to spend less time on data engineering, and more time on data science with the broadest and deepest cloud capabilities for analytics and machine learning.
Whether you're brand new to building intelligent real-time bidding workloads on AWS, or are more experienced, this workshop is best suited for engineering, data science, and technical audiences who help make decisions on programmatic advertising technology. This will be a hands-on keyboard event where you will be reading and running code. Come solo or bring your team to build collaboratively! Business focused team members are also welcome to come alongside technical counterparts.
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